Advances in Microstructure, Durability Performance, and Self-Sensing Capabilities of Novel Functional FRP Nanocomposite Reinforcing Bars

新型功能性FRP纳米复合钢筋的微观结构、耐久性能和自感知能力的进展

• 批准号: RGPIN-2020-04967
• 负责人: Benmokrane, Brahim
• 金额: $ 7.21万
• 依托单位: Université de Sherbrooke
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2022
• 资助国家: 加拿大
• 起止时间: 2022-01-01 至 2023-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=753825
• 关键词: Advances; Microstructure; Durability; Performance; Self

The main goal of this Discovery Grant (DG) is to explore the development of novel functional FRP reinforcement for concrete structures using innovative nanomaterials and nanotechnologies. Nanoparticles (NPs) such as carbon nanotubes (CNTs) are claimed to have a potential for enhancing these targeted performance properties of a FRP composite manifold. CNTs have excellent interactions with FRP matrices due to their high surface area compared to micromaterials, leading to improved strength, stiffness, thermal resistance, and barrier properties when present in very small quantities. Furthermore, specific types of carbon nanofillers can also give the host FRP material self-sensing capabilities. By introducing nanoparticle technology in manufacturing FRP rebars, this research is transformative because it will lead to a technical breakthrough in the development of advanced FRP structural materials with sensing capacities and enhanced properties in terms of microstructure, durability, and mechanical resistance. This proposal is motivated mainly by the industrial and technological needs to develop a new class of multifunctional FRP rebars. This research will advance knowledge about material development, smart materials, and functionality integration. Moreover, it has the ambition to move beyond the isolated research attempts that have already been made in this field and provide a topical breakthrough with respect to traditional approaches and rules that limit the search of innovative solution techniques, by promoting the complete engineering design from the nanoscale functional design up to the structure performance evaluation. It also aims to establish a closed loop of theoretical and experimental investigations, cross-comparing results and achievements with the aim of obtaining an optimal material design and comprehensive procedure for validating and assessing the developed solutions for full-scale experimental testing. This DG will provide an opportunity to (1) develop a novel nanoparticle-reinforced FRP rebar with improved mechanical, thermal and barrier properties; (2) adapt/improve existing industrial production to allow the incorporation of the CNTs into the polymer matrix for producing FRP bars with superior properties; (3) implement nanotechnologies by adding CNTs and graphene to achieve self-sensing capabilities; (4) develop a hierarchical multi-scale computational framework that relies equally on coupled micro- and macroscale modelling to increase our understanding of the interface behaviour and durability; and (5) demonstrate the benefits of the developed technology for applications in the construction sector. The outcomes of this research proposal will constitute an original contribution to the state-of-the-art and will have a genuine industrial impact for Canadian manufacturers. This DG will involve the training of 9 doctoral, 2 master's students, and 3 postdoctoral and will be conducted in accordance with NSERC's Statements on EDI.

该发现补助金 (DG) 的主要目标是探索使用创新纳米材料和纳米技术开发用于混凝土结构的新型功能性 FRP 增强材料，据称碳纳米管 (CNT) 等纳米颗粒 (NP) 具有增强这些目标的潜力。 FRP 复合材料歧管的性能特性由于其比微材料高的表面积，因此与 FRP 基体具有优异的相互作用，当存在于非常大的环境中时，可以提高强度、刚度、耐热性和阻隔性能。此外，特定类型的碳纳米填料还可以赋予主体玻璃钢材料自感知能力，通过在玻璃钢钢筋制造中引入纳米粒子技术，这项研究具有革命性，因为它将为先进玻璃钢结构的开发带来技术突破。该提案主要是出于开发新型多功能玻璃钢钢筋的工业和技术需求而提出的，该研究将推进有关材料开发、智能的知识。此外，它有志于超越该领域已经进行的孤立的研究工作，并通过促进限制创新解决方案技术搜索的传统方法和规则提供主题突破。它还旨在建立理论和实验研究的闭环，交叉比较结果和成果，以获得最佳的材料设计和综合验证程序。并评估所开发的解决方案以进行全面的实验测试。 DG 将提供一个机会：(1) 开发一种新型纳米颗粒增强 FRP 钢筋，其具有改进的机械、热和阻隔性能；(2) 调整/改进现有工业生产，以便将 CNT 纳入聚合物基体中以生产 FRP 钢筋。具有优越的性能；（3）通过添加碳纳米管和石墨烯来实现纳米技术，以实现自感知能力；（4）开发一个分层的多尺度计算框架，该框架同样依赖于耦合的微观和宏观建模来增强我们对界面行为和耐久性的理解；(5) 展示所开发的技术在建筑领域的应用的好处，该研究提案的成果将构成对最先进技术的原创贡献。该 DG 将涉及对 9 名博士生、2 名硕士生和 3 名博士后的培训，并将根据 NSERC 的 EDI 声明进行培训。